Audiograph
liveAn analytics platform that allows users to upload their Spotify data export to generate insights about listening history and patterns.
Timeframe
Q4 2025
Status
live
Categories
About This Project
An analytics platform that allows users to upload their Spotify data export to generate insights about listening history and patterns.
Features include time-based listening insights with weekly cadence charts, listening streaks and visualizations displaying top artists/tracks/genres over various time ranges.
Built with privacy as a core principle using Row Level Security policies to ensure user data remains protected.
Comprehensive database architecture documented in /docs directory with Supabase setup guides.
Tech Stack
Why I Built This
When our son was born we had a playlist runnign in the backgorund. A few months after he was born we were curious if we could see what song he was born to
Spotify provides limited listening history but they offer users the ability to export their full listening data
This data is delivered as a json file which is not very user friendly to explore
I wanted to create a privacy-first alternative to visualise this data
I then expanded the data series using Spotify API to fetch additional metadata about tracks, albums and artists to enrich the data set
This project allowed be to experiment with visualizations, charts and time-series data
Key Learnings
Business Model
Free, privacy-first personal analytics tool